Recent publications
Article
Tang, F, Fan, M & Tino, P 2020, 'Generalized Learning Riemannian Space Quantization: a Case Study on Riemannian Manifold of SPD Matrices', IEEE Transactions on Neural Networks and Learning Systems.
Tino, P 2020, 'Dynamical Systems as Temporal Feature Spaces', Journal of Machine Learning Research, vol. 21, 44, pp. 1-42.
Alzheimer’s Disease Neuroimaging Initiative, Giorgio, J, Landau, S, Jagust, W, Tino, P & Kourtzi, Z 2020, 'Modelling prognostic trajectories of cognitive decline due to Alzheimer's disease', NeuroImage: Clinical, vol. 26, 102199, pp. 1-14. https://doi.org/10.1016/j.nicl.2020.102199
Pfannschmidt, L, Jacob, J, Hinder, F, Biehl, M, Tino, P & Hammer, B 2019, 'Feature relevance determination for ordinal regression in the context of feature redundancies and privileged information', Neurocomputing.
Chong, SY, Tino, P & He, J 2019, 'Coevolutionary systems and PageRank', Artificial Intelligence, vol. 277, 103164. https://doi.org/10.1016/j.artint.2019.103164
Karlaftis, VM, Giorgio, J, Vértes, PE, Wang, R, Shen, Y, Tino, P, Welchman, A & Kourtzi, Z 2019, 'Multimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learning', Nature Human Behaviour, vol. 3, no. 3, pp. 297-307. https://doi.org/10.1038/s41562-018-0503-4
Bunte, K, Smith, D, Chappell, MJ, Hassan-Smith, Z, Tomlinson, J, Arlt, W & Tino, P 2018, 'Learning pharmacokinetic models for in vivo glucocorticoid activation', Journal of Theoretical Biology, vol. 455, pp. 222-231. https://doi.org/10.1016/j.jtbi.2018.07.025
Schleif, F-M, Gisbrecht, A & Tino, P 2018, 'Supervised low rank indefinite kernel approximation using minimum enclosing balls', Neurocomputing. https://doi.org/10.1016/j.neucom.2018.08.057
Tino, P 2018, 'Asymptotic Fisher Memory of Randomized Linear Symmetric Echo State Networks', Neurocomputing, vol. 298, pp. 4-8. https://doi.org/10.1016/j.neucom.2017.11.076
Rupawala, M, Dehghani, H, Lucas, SJE, Tino, P & Cruse, D 2018, 'Shining a Light on Awareness: A Review of Functional Near-Infrared Spectroscopy for Prolonged Disorders of Consciousness', Frontiers in neurology, vol. 9, 350. https://doi.org/10.3389/fneur.2018.00350
Chong, SY, Tino, P, He, J & Yao, X 2017, 'A New Framework for Analysis of Coevolutionary Systems - Directed Graph Representation and Random Walks', Evolutionary Computation. https://doi.org/10.1162/evco_a_00218
Schleif, F-M & Tino, P 2017, 'Indefinite Core Vector Machine', Pattern Recognition, vol. 71, pp. 187-195. https://doi.org/10.1016/j.patcog.2017.06.003
Wang, R, Shen, Y, Tino, P, Welchman, AE & Kourtzi, Z 2017, 'Learning predictive statistics from temporal sequences: Dynamics and strategies', Journal of Vision, vol. 17, no. 12, pp. 1-16. https://doi.org/10.1167/17.12.1
Tang, F & Tiňo, P 2017, 'Ordinal regression based on learning vector quantization', Neural Networks, vol. 93, pp. 76-88. https://doi.org/10.1016/j.neunet.2017.05.006
Conference contribution
Elhabbash, A, Bahsoon, R & Tino, P 2017, Self-awareness for dynamic knowledge management in self-adaptive volunteer services. in Proceedings - 2017 IEEE 24th International Conference on Web Services, ICWS 2017., 8029760, Institute of Electrical and Electronics Engineers (IEEE), pp. 180-187, 24th IEEE International Conference on Web Services, ICWS 2017, Honolulu, United States, 25/06/17. https://doi.org/10.1109/ICWS.2017.31
View all publications in research portal